Scientists at @pmresearch-uhn.bsky.social have developed CellNEST, a powerful AI tool that maps how cells talk to each other. By detecting complex signals between cells, it could lead to new ways to target tumours and stop disease progression.
π www.uhnresearch.ca/news/pinpoin...
25.07.2025 15:16 β π 3 π 2 π¬ 1 π 0
π Cancer Cells Relay Messages to Coordinate the Spread
CellNEST, an AI-powered tool developed by Dr. Gregory Schwartz's team @uhn.ca, found that cancer cells relay messages in a "two-hop" fashion, fuelling the progression of #PancreaticCancer.
In Nature Methods:
www.nature.com/articles/s41...
17.06.2025 13:40 β π 4 π 3 π¬ 0 π 0
Out today from the Schwartz lab! A new way to study cell-cell communication from spatial transcriptomics data. Cell Neural Networks on Spatial Transcriptomics (CellNEST) can detect both signals between individual cells and relay networks of communication. www.nature.com/articles/s41...
06.06.2025 17:32 β π 7 π 2 π¬ 0 π 0
CellNEST's architecture enables finding patterns of signals, potentially detecting relay networks of communication. This work was made possible by the fantastic Fatema Zohora, Deisha Paliwal, Joshua Li, Victoria Gao, Eugenia Flores-Figueroa, and Faiyaz Notta!
06.06.2025 14:28 β π 0 π 0 π¬ 0 π 0
Machine Learning for Computational Biology | PhD Student @ TUM, Helmholtz Munich with Fabian Theis, Niki Kilbertus
A scientific journal publishing cutting-edge methods, tools, analyses, resources, reviews, news and commentary, supporting life sciences research. Posts by the editors.
https://www.camlab.ca | ML for cancer genomics + single-cell and spatial computational methods | Toronto Canada π₯οΈπ§¬
Computational Cancer Biology azizilab.com
Irving Associate Professor @Columbia
#compbio #ml #genomics #singlecell #cancerimmunology
Foundational tools for omics data (mostly in python).
Computational biologist @HelmholtzMunich, prof @TU_Muenchen & associate PI @sangerinstitute. Dad of 4 and mountain lover. Department news, see @CompHealthMuc
Researcher in bioinformatics working on single-cell data visualization
https://markk.co
Computational Biologist studying pancreas using single cell genomics.
Senior Scientist @ The University of Sydney: cytometry, CyTOF, single-cell & spatial multiomics, systems immunology. Interests in respiratory π« & neurological π§ infectious disease π¦ , paediatric immunology πΆ.
https://tomashhurst.github.io
Professor in Systems Biology & Genetics @EPFL, opinions my own; Single Cell Omics / Gene Regulation / Transcription Factor / Stem Cells / Regulatory Variation / ML / Imaging / Adipose Biology / Microfluidics
https://www.epfl.ch/labs/deplanckelab
PhD student in machine learning and comp bio at the Fabian Theis lab, Helmholtz Munich. Interests: single cell, ML, cancer, atlases, ML in the clinic, philosophy, and π
Chair, Computational BIology and Medicine Program, Princess Margaret Cancer Centre, University Health Network.
Associate Professor, Medical Biophysics, University of Toronto.
Disclosures: https://github.com/michaelmhoffman/disclosure/
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